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Dryad

Data for: Long-wavelength-sensitive (lws) opsin gene expression, foraging and visual communication in coral reef fishes

Cite this dataset

Stieb, Sara et al. (2022). Data for: Long-wavelength-sensitive (lws) opsin gene expression, foraging and visual communication in coral reef fishes [Dataset]. Dryad. https://doi.org/10.5061/dryad.qv9s4mwgf

Abstract

Coral reef fishes are diverse in ecology and behaviour and show remarkable colour variability. Investigating the visual pigment gene (opsin) expression in these fishes makes it possible to associate their visual genotype and phenotype (spectral sensitivities) to visual tasks, such as feeding strategy or conspecific detection. By studying all major damselfish clades (Pomacentridae) and representatives from five other coral reef fish families, we show that the long-wavelength-sensitive (lws) opsin is highly expressed in algivorous and less or not expressed in zooplanktivorous species. Lws is also upregulated in species with orange/red colours (reflectance >520 nm) and expression is highest in orange/red-coloured algivores. Visual models from the perspective of a typical damselfish indicate that sensitivity to longer wavelengths does enhance the ability to detect the red to far-red component of algae and orange/red-coloured conspecifics, possibly enabling social signalling. Character state reconstructions indicate that in the early evolutionary history of damselfishes, there was no lws expression and no orange/red coloration. Omnivory was most often the dominant state. Although herbivory was sometimes dominant, zooplanktivory was never dominant. Sensitivity to long wavelength (increased lws expression) only emerged in association with algivory but never with zooplanktivory. Higher lws expression is also exploited by social signalling in orange/red, which emerged after the transition to algivory. Although the relative timing of traits may deviate by different reconstructions and alternative explanations are possible, our results are consistent with sensory bias whereby social signals evolve as a correlated response to natural selection on sensory system properties in other contexts.

Methods

Guide to supplementary data and files

1. The damselfish phylogeny alignment contains species used in this study being modified from The Fish Tree of Life (Rabosky et al., 2018) and is used for ancestral state reconstructions

2. Data used for visual models as reflectance data of backgrounds, algae, fish colours, ambient illuminant measurements and the damselfish lens transmittance. 

3. R-code used for visual models 

4. The alignment to reconstruct maximum-likelihood amino acid trees of newly sequenced opsin genes

5. Coral reef fish reflectances measured in this study; data are presented as non-normalized data and averaged per species for multiple measurements across several and within one specimen

6. R-code used for ancestral state reconstructions (corHMM)

7. The alignment to reconstruct maximum-likelihood trees of damselfish species used for ancestral state reconstructions

Usage notes

Guide to supplementary data and files

1. The damselfish phylogeny on which ancestral states are reconstructed: damselfish phylogeny alignment .fasta

2. Data used for visual models: data for visual models.cvs

3. The R-code used for visual models: visual model Rscript_I AquaVis4T_needed.R

4. The alignment for the tree of newly sequenced opsin genes: new opsins coral reef fish alignment.fasta

5. Coral reef fish reflectances maesured in this study: spectral reflectance fish colours .csv

6. The R-code used for ancestral state reconstructions (corHMM): corHMMdamselfish_LJdQ.R

7. The alignment for the damselfish phylogeny tree used for ancestral state reconstructions: aligment_corHMM.fasta

Funding

Deutsche Forschungsgemeinschaft

Australian Research Council, Award: DP150102710, Discovery Projects

Australian Research Council, Award: DP180102363, Discovery Projects

Sea World

United States Air Force Office of Scientific Research

UQ Development and ARC DECRA Fellowships, Award: DE200100620

Swiss Federal Institute of Aquatic Science and Technology, Award: 5221.00979.008.05 ATG21, Academic Transition Grant

National Institutes of Health, Award: 1R01EY024629

Swiss Federal Institute of Aquatic Science and Technology